Search

Purposes Aiming at the problem that Granger Causality (GC) analysis in EEG emotion recognition does not consider the interaction between nodes when constructing brain network, a method of constructing brain network by combining fuzzy cognitive map (FCM) and GC analysis is proposed. Methods First, on the basis of the correspondence between the structure of FCM and GC brain network, the GC brain network is modeled and improved by using the causal attributes among FCM nodes, and the FCM-GC brain network is constructed, by taking into account the cooperative interaction among nodes. Furthermore, in order to deeply integrate FCM with GC brain network, the spatial position information of EEG electrode channel is added to FCM training, and a new IFCM-GC brain network is constructed. On the basis of DEAP emotional EEG database, the features of IFCM-GC brain network are extracted, and the support vec tor machine is used as the recognition model. The average recognition rates in valence dimension and incentive dimension are 97.10% and 97.00%, respectively, which are more than 8% higher than the existing research on GC improvement. Findings The GC brain network constructed by this method takes into account the cooperative interaction among multiple nodes, and effectively improves the performance of emotion recognition system.

In R16, 3GPP proposed that user devices could utilize the 4G/5G cellular networks to report the received signal strength indicator (RSSI) of Wi-Fi signal based on the existing minimization of drive test (MDT) technology, making it possible to measure the coverage probability of indoor Wi-Fi networks. However, existing measurement methods of network coverage probability based on the MDT require the spatial coordinates provided by the GPS. As GPS has poor indoor localization accuracy, it is not able to be applied to indoor Wi-Fi networks. A measurement method for network coverage probability based on clustering without spatial coordinates was proposed. The proposed method could distinguish RSSI measurement reported on different locations, with the fact that their statistics were similar at similar locations. The coverage probability was accurately measured by utilizing the clustering results without knowing the spatial coordinates. Experimental results show that the coverage probability measured by the proposed method is very close to the probability measured by the known spatial coordinates, and the accuracy is much higher than existing methods.

Objective To study the effect of fluoride varnish, glass ionomer and resin sealant on the prevention of pit and fissure caries in young children, and to identify an a method to reduce the sensitivity of operation technique to prevent pit and fissure caries in young children with limited moisture isolation. Methods A self-control design was used to select 370 young children aged 3 to 5. Eight molars in the mouth were distributed in four quadrants, and each quadrant was randomly allocated to the blank group, fluoride varnish Duraphat group, glass ionomer GC FujiⅦ group, and resin ClinproTM Sealant group. The retention rate of pit and fissure sealant and the incidence of primary molar caries were observed in the 6th, 12th, 24th and 36th months respectively. Results In the 6th month, 12th month and 24th month, there were no significant differences in the material retention rate between the GC Fuji Ⅶ group and ClinproTM Sealant group. In the 36th month, the retention rate of the ClinproTM sealant group was better than that of the GC Fuji Ⅶ group (P < 0.05). In the 6th month, the caries incidence in the Duraphat group, GC Fuji Ⅶ group and ClinproTM sealant group was significantly lower than that in the blank group (P < 0.001). There was no significant difference between the Duraphat group, GC Fuji Ⅶ group and ClinproTM sealant group. In the 12th month, 24th month and 36th month, the incidence of caries in the GC Fuji Ⅶ group and ClinproTM sealant group was lower than that in the Duraphat group and blank group (P < 0.001), but there was no significant difference between the blank group and Duraphat group, and there was no significant difference in caries incidence between the GC Fuji Ⅶ group and ClinproTM sealant group. Conclusion The GC Fuji Ⅶ and ClinproTM sealant treatments continuously and effectively prevented pit and fissure caries compared with simple fluoride application. However, in cases of limited cooperation and poor moisture isolation in young children, the preventive measures of glass ionomer pits and fissure sealants (GC Fuji Ⅶ) are simpler and more feasible.

Because of the inhomogeneity and anisotropy of glass fibre reinforced plastics (GFRP), it is always a challenge to detect the real-time dynamic quality during manufacturing and service. In this paper, a virtual loading focusing enhancement technology (VLFET) based on time reversal (TR) theory is proposed to accurately locate the acoustic emission (AE) source in the GFRP. First, the focusing enhancement theoretical model with virtual reverse loading is deduced according to the TR theory. Then, after measuring the optimal detection range and the average acoustic velocity, the sensor array is positioned on the GFRP specimen. The excitation signals applied to simulate the AE source at some positions are produced by using lead breaking, and the detection signals are received by the sensor array. Finally, the signals received by the sensor array are processed according to the theoretical model, and the fluctuation image in the monitoring area is reconstructed with fluctuation amplitude of each pixel to evaluate the AE source position. The experimental results demonstrate that the excitation sources can be accurately evaluated with the VLFET. The location error with the proposed method is less than 3.1%, higher than that from the current AE instrument. The proposed technology can also be applied to the AE evaluation of other anisotropic materials. [ABSTRACT FROM AUTHOR]

The service network design problem is one of the key problems in the field of railroad intermodal transportation of hazardous materials (hazmat). It lies in determining the frequency of the trains and the allocation of both hazardous and ordinary shipments to these trains, as well as the railroad connecting plan of all shipments based on the established train formation plan. Based on a unified method, we build a multiobjective mixed-integer linear-programming model that comprehensively considers both hazardous and ordinary materials, the compatibility of goods and services, the capacity of the transfer station, and the delivery time limit of each shipment. An augmented ε -constraint algorithm is customized to solve the model. Computational results of a practical example in China show that an increase of 8.4 million yuan in the total cost could reduce nearly 24541 the total risk. Moreover, the algorithms comparison and sensitivity analysis indicate that the augmented ε -constraint algorithm is a more suitable approach to handle the model because of its advantage in the uniqueness of distinct nondominated solutions. Finally, the sensitivity analysis shows that the total cost and risk could simultaneously be reduced if the delivery time limit is relaxed or if the transfer time is shortened., Author(s): Lixia Huang (corresponding author) [1]; Jun Zhao [2,3] 1. Introduction Hazardous materials (hazmat), such as combustibles, explosives, poisons, and radioactive substances, are the basic components of our modern industrialized [...]